Risk Management Solutions Associate Software Development Engineer in Noida, India

Associate Software Development Engineer

Software
Noida, India

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Associate Software Engineer, Analytical & Data Services Analytical & Data Services team provides an integrated suite of data and analytical services and solutions based on RMS’ catastrophe models, that global insurance and reinsurance clients rely on for making decisions on underwriting, portfolio management, capital management and risk transfer. The team works with exposure data of a majority of Fortune 500 corporate accounts, analyzing the quality of data, assessing clients’ exposure to catastrophic events, and providing insights on loss drivers and distributions, using RMS models. Analysts on the team specialize in data interpretation, data analytics, data quality, financial policy structures, and a deep understanding of sophisticated catastrophe models of perils including earthquake, hurricane, and terrorism. Objective of Software Engineer: The Software Emgineer will be required to lead client-facing risk analytics projects involving requirements scoping, design of reports, data preparation and modeling, and presentation of results. The role will also support the front-end sales organization to prepare customized client proposals including details of the analytics solution, estimation of effort, and commercials. The role will need to interact with clients and colleagues across the world. The individual must have excellent communication and presentation skills and must be willing to work a global, matrix environment. As a technical expert, the individual must display strong problem-solving skills, and also help build stronger technical and business understanding on the larger team. Skills:

  • Strong analytical and problem solving abilities.

  • Strong database and data mining skills - working knowledge of Excel, Access, and SQL; VBA or VB.Net is an added advantage.

  • Excellent written and verbal communication.

  • Mentoring and coaching skills.

Requirements:

  • B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities.

  • MBA in Insurance/Operations Research or Masters in Mathematics/Statistics/Operations Research/Economics from top-tier universities.

  • 2-3 years relevant experience in reinsurance/insurance modelling or insurance linked securities.

  • Knowledge of Reinsurance concepts and principles, laws and regulatory requirements and general business trend

  • Hands-on experience with catastrophe risk models is essential.

  • Prior project / team management experience would be desirable.

About RMS: Did you know there’s a 5% chance that a hurricane will cause $60 billion of insured losses next year? And there’s a 1% chance that an earthquake will cause $50 billion of insured loss in the next 12 months? We do. At RMS, we build the simulation models that allow insurers and investors to understand portfolio risks due to catastrophes: natural catastrophes (hurricane, earthquake, flood), terrorism, pandemic, and changes in life expectancy. We are one of the most exciting and technologically sophisticated firms you’ve ‘never’ heard of, unless you’re one of our hundreds of clients in the (re)insurance, banking or hedge fund sector. We lead an industry we helped pioneer and ultimately our work makes a true impact on the world at large. How we understand and manage risk affects everybody and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events. As we approach our 25th anniversary, we are now evolving our vision by delivering future solutions in the cloud, releasing in 2014 a cutting edge risk management platform ‘RMS(one)’ for the global risk market. RMS(one) will create a holistic and integrated view across the enterprise with one platform for all models, all points of view, all data. All will be run as equal partners on RMS(one). To find out more, visit www.rms.com Or follow us on Facebook or @rmsjobs on Twitter. RMS is proud to be an equal opportunity employer.